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Streamlit is a powerful open-source app framework specifically designed for creating and sharing data science and machine learning apps. With Streamlit, developers can turn data scripts into interactive web apps in just minutes. This easy-to-use tool allows seamless UI integration, supports various data sources, and is scalable to handle large projects. Its ability to host apps directly online makes data science projects accessible and shareable.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.
Open-source
Easy-to-use
Supports various data sources
Scalable
Interactive web apps
Direct online hosting
Python compatible
Supports dashboards
Extensive documentation
Active community
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Turn complex data models and analytics into interactive web apps for easier interpretation.
Deploy machine learning models into sharable web applications for demonstrations and testing.
Create interactive dashboards to visualize business metrics and performance indicators.
Share research findings in an interactive and visually appealing format.
Develop teaching tools and interactive learning modules for students.
Display patient data and predictive models in an interactive format for better decision-making.
Visualize market trends and financial data for better investment analysis.
Create real-time data dashboards to track marketing campaign performance.
Deploy proof-of-concept apps and prototypes quickly and efficiently.
Share public data and statistics in an accessible and interactive manner.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.